LabCompass

Reza Averly

Computer Science · The Ohio State University

OpenAlex
Early career · publishing since 2021Rising activity
Topic ModelingMachine Learning in Materials ScienceMachine Learning in HealthcareNatural Language Processing TechniquesAI-based Problem Solving and Planning

Publications

13

Citations

25

Est. group size

—

Recurring co-author estimate

Active years

6

Publishing since 2021

Research summary
AI-generated

Reza Averly's research focuses on natural language processing and machine learning, including clinical text analysis, out-of-distribution detection, and decision-making in AI conversational systems. Their work spans applying AI to healthcare-related text extraction as well as more general problems in how AI systems handle uncertainty and unfamiliar data. Earlier work also touched on signal processing for wireless communication systems.

Natural language processingClinical text mining and named entity recognitionOut-of-distribution detection in machine learningAI planning and decision-making under uncertaintyWireless communication signal processing

Publication activity was minimal or absent for most of the past decade but has grown noticeably in the last 2-3 years, with the highest output appearing in 2025 and 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
171819202021: 1 publication21222023: 2 publications232024: 1 publication242025: 4 publications252026: 5 publications526
Recent publications
Publishes in
  • arXiv (Cornell University)×7
  • 2021 International Conference on Electronics, Information, and Communication (ICEIC)×1
  • EPiC series in technology×1
  • Blood×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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